Mexico: Life and Death

Dataset statistics

Number of variables	21
Number of observations	8631418
Missing cells	20084
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 GiB
Average record size in memory	168.0 B

Variable types

Numeric	14
Categorical	7

Alerts

`municipio` has a high cardinality: 2327 distinct values	High cardinality
`causa_nombre` has a high cardinality: 308 distinct values	High cardinality
`df_index` is highly correlated with `region`	High correlation
`region` is highly correlated with `df_index`	High correlation
`factor` is highly correlated with `pop` and 2 other fields	High correlation
`pop` is highly correlated with `factor` and 4 other fields	High correlation
`pop_male` is highly correlated with `factor` and 4 other fields	High correlation
`pop_female` is highly correlated with `factor` and 4 other fields	High correlation
`afromexican` is highly correlated with `pop` and 3 other fields	High correlation
`metro_area` is highly correlated with `pop` and 3 other fields	High correlation
`long` is highly correlated with `lat`	High correlation
`lat` is highly correlated with `long`	High correlation
`df_index` is highly correlated with `region`	High correlation
`region` is highly correlated with `df_index`	High correlation
`pop` is highly correlated with `pop_male` and 3 other fields	High correlation
`pop_male` is highly correlated with `pop` and 3 other fields	High correlation
`pop_female` is highly correlated with `pop` and 3 other fields	High correlation
`afromexican` is highly correlated with `pop` and 2 other fields	High correlation
`metro_area` is highly correlated with `pop` and 2 other fields	High correlation
`long` is highly correlated with `lat`	High correlation
`lat` is highly correlated with `long`	High correlation
`df_index` is highly correlated with `region`	High correlation
`region` is highly correlated with `df_index`	High correlation
`factor` is highly correlated with `pop` and 2 other fields	High correlation
`pop` is highly correlated with `factor` and 3 other fields	High correlation
`pop_male` is highly correlated with `factor` and 3 other fields	High correlation
`pop_female` is highly correlated with `factor` and 3 other fields	High correlation
`afromexican` is highly correlated with `pop` and 2 other fields	High correlation
`metro_area` is highly correlated with `state_name`	High correlation
`state_name` is highly correlated with `metro_area`	High correlation
`df_index` is highly correlated with `region` and 4 other fields	High correlation
`region` is highly correlated with `df_index` and 3 other fields	High correlation
`edad` is highly correlated with `escolaridad` and 2 other fields	High correlation
`escolaridad` is highly correlated with `edad` and 1 other fields	High correlation
`edo_civil` is highly correlated with `edad` and 1 other fields	High correlation
`state_name` is highly correlated with `df_index` and 8 other fields	High correlation
`pop` is highly correlated with `state_name` and 6 other fields	High correlation
`pop_male` is highly correlated with `state_name` and 6 other fields	High correlation
`pop_female` is highly correlated with `state_name` and 5 other fields	High correlation
`afromexican` is highly correlated with `state_name` and 5 other fields	High correlation
`indigenous_language` is highly correlated with `afromexican`	High correlation
`metro_area` is highly correlated with `state_name` and 4 other fields	High correlation
`long` is highly correlated with `df_index` and 6 other fields	High correlation
`lat` is highly correlated with `df_index` and 5 other fields	High correlation
`esco_avail` is highly correlated with `escolaridad`	High correlation
`death` is highly correlated with `df_index` and 2 other fields	High correlation
`factor` is highly skewed (γ1 = 59.11565334)	Skewed
`df_index` has unique values	Unique
`escolaridad` has 98201 (1.1%) zeros	Zeros
`edo_civil` has 140746 (1.6%) zeros	Zeros

Reproduction

Analysis started	2021-12-23 20:39:13.848948
Analysis finished	2021-12-23 20:59:24.195636
Duration	20 minutes and 10.35 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	8631418
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4316465.193

Minimum	0
Maximum	8643310
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	0
5-th percentile	431585.85
Q1	2157953.25
median	4315940.5
Q3	6473880.75
95-th percentile	8206121.15
Maximum	8643310
Range	8643310
Interquartile range (IQR)	4315927.5

Descriptive statistics

Standard deviation	2492683.207
Coefficient of variation (CV)	0.5774825224
Kurtosis	-1.19875468
Mean	4316465.193
Median Absolute Deviation (MAD)	2157964
Skewness	0.00108087599
Sum	3.725721536 × 10¹³
Variance	6.213469572 × 10¹²
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8392702	1	< 0.1%
5931515	1	< 0.1%
5939711	1	< 0.1%
346626	1	< 0.1%
4538883	1	< 0.1%
354822	1	< 0.1%
4547079	1	< 0.1%
330250	1	< 0.1%
4522507	1	< 0.1%
338446	1	< 0.1%
Other values (8631408)	8631408	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
8643310	1	< 0.1%
8643309	1	< 0.1%
8643308	1	< 0.1%
8643307	1	< 0.1%
8643306	1	< 0.1%
8643305	1	< 0.1%
8643304	1	< 0.1%
8643303	1	< 0.1%
8643302	1	< 0.1%
8643301	1	< 0.1%

region
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2503
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18414.77584

Minimum	1001
Maximum	35999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	1001
5-th percentile	7012
Q1	13038
median	19021
Q3	24025
95-th percentile	31015
Maximum	35999
Range	34998
Interquartile range (IQR)	10987

Descriptive statistics

Standard deviation	7784.733044
Coefficient of variation (CV)	0.4227438397
Kurtosis	-0.843234033
Mean	18414.77584
Median Absolute Deviation (MAD)	5951
Skewness	0.04358069972
Sum	1.589456276 × 10¹¹
Variance	60602068.56
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9007	23450	0.3%
14039	22261	0.3%
2004	21991	0.3%
11020	21281	0.2%
15033	21250	0.2%
9005	20952	0.2%
21114	20051	0.2%
14120	20039	0.2%
20334	19495	0.2%
19039	18645	0.2%
Other values (2493)	8422003	97.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1001	13835	0.2%
1002	4179	< 0.1%
1003	4792	0.1%
1004	2992	< 0.1%
1005	6005	0.1%
1006	5219	0.1%
1007	5881	0.1%
1008	2436	< 0.1%
1009	3724	< 0.1%
1010	3269	< 0.1%

Value	Count	Frequency (%)
35999	149	< 0.1%
34999	216	< 0.1%
33999	890	< 0.1%
32999	7	< 0.1%
32058	1680	< 0.1%
32057	2967	< 0.1%
32056	5359	0.1%
32055	3599	< 0.1%
32054	2915	< 0.1%
32053	2470	< 0.1%

sexo
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.9 MiB

1	4555532
2	4075886

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8631418
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	4555532	52.8%
2	4075886	47.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	4555532	52.8%
2	4075886	47.2%

Most occurring characters

Value	Count	Frequency (%)
1	4555532	52.8%
2	4075886	47.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8631418	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	4555532	52.8%
2	4075886	47.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	8631418	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	4555532	52.8%
2	4075886	47.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8631418	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	4555532	52.8%
2	4075886	47.2%

edad
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	129
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.7295434

Minimum	0
Maximum	130
Zeros	26183
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	0
5-th percentile	17
Q1	28
median	41
Q3	57
95-th percentile	80
Maximum	130
Range	130
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	19.71504586
Coefficient of variation (CV)	0.4508404233
Kurtosis	-0.4362560355
Mean	43.7295434
Median Absolute Deviation (MAD)	14
Skewness	0.4265370832
Sum	377447968
Variance	388.6830331
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	197752	2.3%
40	190294	2.2%
25	177716	2.1%
32	173480	2.0%
28	173254	2.0%
35	171750	2.0%
42	170766	2.0%
38	170535	2.0%
26	168929	2.0%
24	168820	2.0%
Other values (119)	6868122	79.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	26183	0.3%
1	9846	0.1%
2	6550	0.1%
3	7028	0.1%
4	7673	0.1%
5	6149	0.1%
6	10515	0.1%
7	15467	0.2%
8	19117	0.2%
9	20734	0.2%

Value	Count	Frequency (%)
130	2	< 0.1%
128	3	< 0.1%
127	1	< 0.1%
126	1	< 0.1%
125	3	< 0.1%
123	1	< 0.1%
122	3	< 0.1%
121	2	< 0.1%
120	24	< 0.1%
119	7	< 0.1%

escolaridad
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.324594985

Minimum	0
Maximum	10
Zeros	98201
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	6
Q3	8
95-th percentile	9
Maximum	10
Range	10
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.573371767
Coefficient of variation (CV)	0.483299063
Kurtosis	-1.023095148
Mean	5.324594985
Median Absolute Deviation (MAD)	2
Skewness	-0.06826829763
Sum	45958805
Variance	6.622242253
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
6	1774594	20.6%
3	1498299	17.4%
4	1413178	16.4%
8	1316079	15.2%
9	1087565	12.6%
1	828987	9.6%
5	335834	3.9%
7	143180	1.7%
10	133187	1.5%
0	98201	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	98201	1.1%
1	828987	9.6%
2	2314	< 0.1%
3	1498299	17.4%
4	1413178	16.4%
5	335834	3.9%
6	1774594	20.6%
7	143180	1.7%
8	1316079	15.2%
9	1087565	12.6%

Value	Count	Frequency (%)
10	133187	1.5%
9	1087565	12.6%
8	1316079	15.2%
7	143180	1.7%
6	1774594	20.6%
5	335834	3.9%
4	1413178	16.4%
3	1498299	17.4%
2	2314	< 0.1%
1	828987	9.6%

ocupacion
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.24943781

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	6
median	9
Q3	99
95-th percentile	99
Maximum	99
Range	98
Interquartile range (IQR)	93

Descriptive statistics

Standard deviation	45.74028489
Coefficient of variation (CV)	1.057592589
Kurtosis	-1.837114704
Mean	43.24943781
Median Absolute Deviation (MAD)	6
Skewness	0.3950931923
Sum	373303976
Variance	2092.173662
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
99	3469221	40.2%
6	1028036	11.9%
9	949565	11.0%
7	764290	8.9%
2	703328	8.1%
4	610738	7.1%
8	408702	4.7%
5	385189	4.5%
3	214624	2.5%
1	97725	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	97725	1.1%
2	703328	8.1%
3	214624	2.5%
4	610738	7.1%
5	385189	4.5%
6	1028036	11.9%
7	764290	8.9%
8	408702	4.7%
9	949565	11.0%
99	3469221	40.2%

Value	Count	Frequency (%)
99	3469221	40.2%
9	949565	11.0%
8	408702	4.7%
7	764290	8.9%
6	1028036	11.9%
5	385189	4.5%
4	610738	7.1%
3	214624	2.5%
2	703328	8.1%
1	97725	1.1%

edo_civil
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.889877538

Minimum	0
Maximum	9
Zeros	140746
Zeros (%)	1.6%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	7
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	2.69430449
Coefficient of variation (CV)	0.550996312
Kurtosis	-1.370688861
Mean	4.889877538
Median Absolute Deviation (MAD)	2
Skewness	-0.3611461379
Sum	42206577
Variance	7.259276683
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	1833363	21.2%
7	1804277	20.9%
1	1758342	20.4%
5	1370663	15.9%
2	546851	6.3%
4	536939	6.2%
6	322038	3.7%
3	289900	3.4%
0	140746	1.6%
9	28299	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	140746	1.6%
1	1758342	20.4%
2	546851	6.3%
3	289900	3.4%
4	536939	6.2%
5	1370663	15.9%
6	322038	3.7%
7	1804277	20.9%
8	1833363	21.2%
9	28299	0.3%

Value	Count	Frequency (%)
9	28299	0.3%
8	1833363	21.2%
7	1804277	20.9%
6	322038	3.7%
5	1370663	15.9%
4	536939	6.2%
3	289900	3.4%
2	546851	6.3%
1	1758342	20.4%
0	140746	1.6%

factor
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	4072
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.62117963

Minimum	1
Maximum	18236
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	10
95-th percentile	52
Maximum	18236
Range	18235
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	97.87782351
Coefficient of variation (CV)	6.69424944
Kurtosis	5572.111568
Mean	14.62117963
Median Absolute Deviation (MAD)	3
Skewness	59.11565334
Sum	126201513
Variance	9580.068336
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	2098982	24.3%
3	944466	10.9%
2	912449	10.6%
4	821443	9.5%
5	535009	6.2%
6	400399	4.6%
7	297179	3.4%
8	256116	3.0%
9	178505	2.1%
10	154327	1.8%
Other values (4062)	2032543	23.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2098982	24.3%
2	912449	10.6%
3	944466	10.9%
4	821443	9.5%
5	535009	6.2%
6	400399	4.6%
7	297179	3.4%
8	256116	3.0%
9	178505	2.1%
10	154327	1.8%

Value	Count	Frequency (%)
18236	1	< 0.1%
17350	1	< 0.1%
16716	1	< 0.1%
16565	1	< 0.1%
16236	1	< 0.1%
16144	1	< 0.1%
15944	1	< 0.1%
15835	1	< 0.1%
15824	1	< 0.1%
15614	1	< 0.1%

state_name
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	32
Distinct (%)	< 0.1%
Missing	2095
Missing (%)	< 0.1%
Memory size	65.9 MiB

Oaxaca	1086671
Veracruz	812432
MÃ©xico	735460
Puebla	708819
Jalisco	488502
Other values (27)	4797439

Length

Max length	19
Median length	7
Mean length	8.15373454
Min length	6

Characters and Unicode

Total characters	70361209
Distinct characters	48
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Aguascalientes
2nd row	Aguascalientes
3rd row	Aguascalientes
4th row	Aguascalientes
5th row	Aguascalientes

Common Values

Value	Count	Frequency (%)
Oaxaca	1086671	12.6%
Veracruz	812432	9.4%
MÃ©xico	735460	8.5%
Puebla	708819	8.2%
Jalisco	488502	5.7%
Chiapas	478354	5.5%
MichoacÃ¡n	424181	4.9%
Guerrero	349265	4.0%
Hidalgo	302968	3.5%
YucatÃ¡n	296599	3.4%
Other values (22)	2946072	34.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
oaxaca	1086671	11.0%
mã©xico	962508	9.7%
veracruz	812432	8.2%
puebla	708819	7.2%
jalisco	488502	4.9%
chiapas	478354	4.8%
michoacã¡n	424181	4.3%
guerrero	349265	3.5%
hidalgo	302968	3.1%
yucatã¡n	296599	3.0%
Other values (28)	3988773	40.3%

Most occurring characters

Value	Count	Frequency (%)
a	12449491	17.7%
c	5243917	7.5%
o	4904733	7.0%
u	4396478	6.2%
i	4148013	5.9%
r	3541987	5.0%
e	3512576	5.0%
l	2677080	3.8%
x	2251700	3.2%
Ã	2198873	3.1%
Other values (38)	25036361	35.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55021690	78.2%
Uppercase Letter	11870897	16.9%
Space Separator	1269749	1.8%
Other Symbol	1051939	1.5%
Other Punctuation	720780	1.0%
Other Number	216163	0.3%
Format	209991	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	12449491	22.6%
c	5243917	9.5%
o	4904733	8.9%
u	4396478	8.0%
i	4148013	7.5%
r	3541987	6.4%
e	3512576	6.4%
l	2677080	4.9%
x	2251700	4.1%
s	2092429	3.8%
Other values (13)	9803286	17.8%

Uppercase Letter

Value	Count	Frequency (%)
Ã	2198873	18.5%
M	1544606	13.0%
C	1235893	10.4%
O	1086671	9.2%
P	918810	7.7%
V	812432	6.8%
G	604859	5.1%
S	528461	4.5%
J	488502	4.1%
T	466290	3.9%
Other values (10)	1985500	16.7%

Space Separator

Value	Count	Frequency (%)
	1269749	100.0%

Other Symbol

Value	Count	Frequency (%)
©	1051939	100.0%

Other Punctuation

Value	Count	Frequency (%)
¡	720780	100.0%

Other Number

Value	Count	Frequency (%)
³	216163	100.0%

Format

Value	Count	Frequency (%)
	209991	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66892587	95.1%
Common	3468622	4.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	12449491	18.6%
c	5243917	7.8%
o	4904733	7.3%
u	4396478	6.6%
i	4148013	6.2%
r	3541987	5.3%
e	3512576	5.3%
l	2677080	4.0%
x	2251700	3.4%
Ã	2198873	3.3%
Other values (33)	21567739	32.2%

Common

Value	Count	Frequency (%)
	1269749	36.6%
©	1051939	30.3%
¡	720780	20.8%
³	216163	6.2%
	209991	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65963463	93.7%
None	4397746	6.3%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	12449491	18.9%
c	5243917	7.9%
o	4904733	7.4%
u	4396478	6.7%
i	4148013	6.3%
r	3541987	5.4%
e	3512576	5.3%
l	2677080	4.1%
x	2251700	3.4%
s	2092429	3.2%
Other values (33)	20745059	31.4%

None

Value	Count	Frequency (%)
Ã	2198873	50.0%
©	1051939	23.9%
¡	720780	16.4%
³	216163	4.9%
	209991	4.8%

municipio
Categorical

HIGH CARDINALITY

Distinct	2327
Distinct (%)	< 0.1%
Missing	2095
Missing (%)	< 0.1%
Memory size	65.9 MiB

Benito JuÃ¡rez	37075
JuÃ¡rez	36996
Venustiano Carranza	26492
CuauhtÃ©moc	25606
Emiliano Zapata	24805
Other values (2322)	8478349

Length

Max length	77
Median length	11
Mean length	12.9218437
Min length	4

Characters and Unicode

Total characters	111506763
Distinct characters	64
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Aguascalientes
2nd row	Aguascalientes
3rd row	Aguascalientes
4th row	Aguascalientes
5th row	Aguascalientes

Common Values

Value	Count	Frequency (%)
Benito JuÃ¡rez	37075	0.4%
JuÃ¡rez	36996	0.4%
Venustiano Carranza	26492	0.3%
CuauhtÃ©moc	25606	0.3%
Emiliano Zapata	24805	0.3%
Guadalupe	23519	0.3%
Iztapalapa	23450	0.3%
Guadalajara	22261	0.3%
Tijuana	21991	0.3%
La Paz	21947	0.3%
Other values (2317)	8365181	96.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
de	1216123	7.8%
san	903751	5.8%
santa	259536	1.7%
del	216482	1.4%
la	197581	1.3%
juã¡rez	167911	1.1%
el	151647	1.0%
villa	151018	1.0%
juan	145226	0.9%
santiago	137677	0.9%
Other values (2183)	12140863	77.4%

Most occurring characters

Value	Count	Frequency (%)
a	15641854	14.0%
e	7853367	7.0%
o	7456629	6.7%
	7058492	6.3%
l	7043022	6.3%
n	6704546	6.0%
t	5006962	4.5%
i	4967471	4.5%
c	4507510	4.0%
u	4388645	3.9%
Other values (54)	40878265	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	84131037	75.4%
Uppercase Letter	17087248	15.3%
Space Separator	7058492	6.3%
Other Punctuation	1649376	1.5%
Format	586371	0.5%
Other Symbol	438784	0.4%
Other Number	382131	0.3%
Other Letter	87114	0.1%
Math Symbol	84348	0.1%
Initial Punctuation	1862	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
Ã	3156277	18.5%
S	1779544	10.4%
C	1699084	9.9%
T	1619026	9.5%
A	1217195	7.1%
M	1175216	6.9%
P	715089	4.2%
J	688937	4.0%
G	486144	2.8%
L	474991	2.8%
Other values (16)	4075745	23.9%

Lowercase Letter

Value	Count	Frequency (%)
a	15641854	18.6%
e	7853367	9.3%
o	7456629	8.9%
l	7043022	8.4%
n	6704546	8.0%
t	5006962	6.0%
i	4967471	5.9%
c	4507510	5.4%
u	4388645	5.2%
r	4067049	4.8%
Other values (15)	16493982	19.6%

Other Punctuation

Value	Count	Frequency (%)
¡	1575667	95.5%
.	70992	4.3%
,	2717	0.2%

Other Number

Value	Count	Frequency (%)
³	376075	98.4%
¼	6056	1.6%

Other Symbol

Value	Count	Frequency (%)
©	370912	84.5%
�	67872	15.5%

Initial Punctuation

Value	Count	Frequency (%)
‘	1568	84.2%
“	294	15.8%

Space Separator

Value	Count	Frequency (%)
	7058492	100.0%

Format

Value	Count	Frequency (%)
	586371	100.0%

Other Letter

Value	Count	Frequency (%)
º	87114	100.0%

Math Symbol

Value	Count	Frequency (%)
±	84348	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	101305399	90.9%
Common	10201364	9.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	15641854	15.4%
e	7853367	7.8%
o	7456629	7.4%
l	7043022	7.0%
n	6704546	6.6%
t	5006962	4.9%
i	4967471	4.9%
c	4507510	4.4%
u	4388645	4.3%
r	4067049	4.0%
Other values (42)	33668344	33.2%

Common

Value	Count	Frequency (%)
	7058492	69.2%
¡	1575667	15.4%
	586371	5.7%
³	376075	3.7%
©	370912	3.6%
±	84348	0.8%
.	70992	0.7%
�	67872	0.7%
¼	6056	0.1%
,	2717	< 0.1%
Other values (2)	1862	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	105194209	94.3%
None	6242820	5.6%
Specials	67872	0.1%
Punctuation	1862	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	15641854	14.9%
e	7853367	7.5%
o	7456629	7.1%
	7058492	6.7%
l	7043022	6.7%
n	6704546	6.4%
t	5006962	4.8%
i	4967471	4.7%
c	4507510	4.3%
u	4388645	4.2%
Other values (43)	34565711	32.9%

None

Value	Count	Frequency (%)
Ã	3156277	50.6%
¡	1575667	25.2%
	586371	9.4%
³	376075	6.0%
©	370912	5.9%
º	87114	1.4%
±	84348	1.4%
¼	6056	0.1%

Specials

Value	Count	Frequency (%)
�	67872	100.0%

Punctuation

Value	Count	Frequency (%)
‘	1568	84.2%
“	294	15.8%

pop
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2402
Distinct (%)	< 0.1%
Missing	2095
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	146043.2487

Minimum	81
Maximum	1922523
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	81
5-th percentile	2974
Q1	11966
median	30097
Q3	102149
95-th percentile	779566
Maximum	1922523
Range	1922442
Interquartile range (IQR)	90183

Descriptive statistics

Standard deviation	300405.6876
Coefficient of variation (CV)	2.05696388
Kurtosis	12.64746764
Mean	146043.2487
Median Absolute Deviation (MAD)	23909
Skewness	3.390090095
Sum	1.260254365 × 10¹²
Variance	9.024357714 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1835486	23450	0.3%
1385629	22261	0.3%
1922523	21991	0.3%
1721215	21281	0.2%
1645352	21250	0.2%
1173351	20952	0.2%
1692181	20051	0.2%
1476491	20039	0.2%
50541	19495	0.2%
1142994	18645	0.2%
Other values (2392)	8419908	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
81	84	< 0.1%
113	112	< 0.1%
130	122	< 0.1%
174	169	< 0.1%
229	214	< 0.1%
241	216	< 0.1%
245	223	< 0.1%
249	211	< 0.1%
250	445	< 0.1%
296	265	< 0.1%

Value	Count	Frequency (%)
1922523	21991	0.3%
1835486	23450	0.3%
1721215	21281	0.2%
1692181	20051	0.2%
1645352	21250	0.2%
1512450	16369	0.2%
1476491	20039	0.2%
1385629	22261	0.3%
1173351	20952	0.2%
1142994	18645	0.2%

pop_male
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2316
Distinct (%)	< 0.1%
Missing	2095
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	71187.65212

Minimum	41
Maximum	968740
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	41
5-th percentile	1455
Q1	5829
median	14673
Q3	48818
95-th percentile	371794
Maximum	968740
Range	968699
Interquartile range (IQR)	42989

Descriptive statistics

Standard deviation	146787.7108
Coefficient of variation (CV)	2.061982751
Kurtosis	12.88411232
Mean	71187.65212
Median Absolute Deviation (MAD)	11675
Skewness	3.413724763
Sum	6.143012438 × 10¹¹
Variance	2.154663203 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
887651	23450	0.3%
666997	22261	0.3%
968740	21991	0.3%
846673	21281	0.2%
798549	21250	0.2%
563874	20952	0.2%
809485	20051	0.2%
720592	20039	0.2%
24533	19495	0.2%
564805	18645	0.2%
Other values (2306)	8419908	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
41	84	< 0.1%
52	234	< 0.1%
84	169	< 0.1%
109	216	< 0.1%
111	214	< 0.1%
112	217	< 0.1%
117	228	< 0.1%
122	223	< 0.1%
126	211	< 0.1%
133	265	< 0.1%

Value	Count	Frequency (%)
968740	21991	0.3%
887651	23450	0.3%
846673	21281	0.2%
809485	20051	0.2%
798549	21250	0.2%
756977	16369	0.2%
720592	20039	0.2%
666997	22261	0.3%
564805	18645	0.2%
563874	20952	0.2%

pop_female
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2338
Distinct (%)	< 0.1%
Missing	2095
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	74855.59662

Minimum	40
Maximum	953783
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	40
5-th percentile	1532
Q1	6119
median	15461
Q3	52644
95-th percentile	407772
Maximum	953783
Range	953743
Interquartile range (IQR)	46525

Descriptive statistics

Standard deviation	153677.1188
Coefficient of variation (CV)	2.052981017
Kurtosis	12.47229425
Mean	74855.59662
Median Absolute Deviation (MAD)	12287
Skewness	3.371661352
Sum	6.459531216 × 10¹¹
Variance	2.361665685 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26008	25264	0.3%
947835	23450	0.3%
718632	22261	0.3%
953783	21991	0.3%
874542	21281	0.2%
846803	21250	0.2%
609477	20952	0.2%
882696	20051	0.2%
755899	20039	0.2%
578189	18645	0.2%
Other values (2328)	8414139	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40	84	< 0.1%
61	112	< 0.1%
78	122	< 0.1%
90	169	< 0.1%
118	214	< 0.1%
123	434	< 0.1%
132	216	< 0.1%
133	228	< 0.1%
138	217	< 0.1%
151	262	< 0.1%

Value	Count	Frequency (%)
953783	21991	0.3%
947835	23450	0.3%
882696	20051	0.2%
874542	21281	0.2%
846803	21250	0.2%
755899	20039	0.2%
755473	16369	0.2%
718632	22261	0.3%
609477	20952	0.2%
578189	18645	0.2%

afromexican
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	999
Distinct (%)	< 0.1%
Missing	2095
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	3030.690609

Minimum	0
Maximum	75476
Zeros	46216
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	0
5-th percentile	12
Q1	100
median	408
Q3	2140
95-th percentile	16457
Maximum	75476
Range	75476
Interquartile range (IQR)	2040

Descriptive statistics

Standard deviation	7036.067109
Coefficient of variation (CV)	2.32160521
Kurtosis	26.6464384
Mean	3030.690609
Median Absolute Deviation (MAD)	374
Skewness	4.372176057
Sum	2.615280818 × 10¹⁰
Variance	49506240.36
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	46216	0.5%
2	41544	0.5%
14	40131	0.5%
10	39542	0.5%
1	38721	0.4%
25	38696	0.4%
34	37590	0.4%
88	37079	0.4%
6	36899	0.4%
9	36270	0.4%
Other values (989)	8236635	95.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	46216	0.5%
1	38721	0.4%
2	41544	0.5%
3	31612	0.4%
4	29025	0.3%
5	31367	0.4%
6	36899	0.4%
7	29630	0.3%
8	31182	0.4%
9	36270	0.4%

Value	Count	Frequency (%)
75476	13908	0.2%
47366	21281	0.2%
39074	20051	0.2%
35837	21991	0.3%
33313	23450	0.3%
31793	21250	0.2%
29450	16369	0.2%
29317	20039	0.2%
28303	22261	0.3%
28251	15357	0.2%

indigenous_language
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1406
Distinct (%)	< 0.1%
Missing	2095
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	4932.190126

Minimum	0
Maximum	158867
Zeros	40349
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	98
median	906
Q3	4936
95-th percentile	22528
Maximum	158867
Range	158867
Interquartile range (IQR)	4838

Descriptive statistics

Standard deviation	10627.88893
Coefficient of variation (CV)	2.154801144
Kurtosis	47.12021599
Mean	4932.190126
Median Absolute Deviation (MAD)	890
Skewness	5.435034467
Sum	4.25614617 × 10¹⁰
Variance	112952023
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	64141	0.7%
10	61737	0.7%
4	55709	0.6%
5	52474	0.6%
2	49766	0.6%
19	49317	0.6%
6	48295	0.6%
15	48128	0.6%
13	47657	0.6%
18	46844	0.5%
Other values (1396)	8105255	93.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	40349	0.5%
1	39871	0.5%
2	49766	0.6%
3	64141	0.7%
4	55709	0.6%
5	52474	0.6%
6	48295	0.6%
7	38584	0.4%
8	32145	0.4%
9	32789	0.4%

Value	Count	Frequency (%)
158867	5444	0.1%
118998	3654	< 0.1%
92158	12765	0.1%
71040	15357	0.2%
66819	5322	0.1%
64555	6371	0.1%
63800	6854	0.1%
63392	3367	< 0.1%
61216	5258	0.1%
60080	10920	0.1%

metro_area
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.9 MiB

0	6187125
1	2444293

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8631418
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	6187125	71.7%
1	2444293	28.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	6187125	71.7%
1	2444293	28.3%

Most occurring characters

Value	Count	Frequency (%)
0	6187125	71.7%
1	2444293	28.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8631418	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	6187125	71.7%
1	2444293	28.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	8631418	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	6187125	71.7%
1	2444293	28.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8631418	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	6187125	71.7%
1	2444293	28.3%

long
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2469
Distinct (%)	< 0.1%
Missing	2095
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	-99.06487697

Minimum	-117.054459
Maximum	-86.746092
Zeros	0
Zeros (%)	0.0%
Negative	8629323
Negative (%)	> 99.9%
Memory size	65.9 MiB

Quantile statistics

Minimum	-117.054459
5-th percentile	-106.866044
Q1	-101.094629
median	-98.884247
Q3	-96.999346
95-th percentile	-91.981568
Maximum	-86.746092
Range	30.308367
Interquartile range (IQR)	4.095283

Descriptive statistics

Standard deviation	4.457194389
Coefficient of variation (CV)	-0.04499268081
Kurtosis	2.002600813
Mean	-99.06487697
Median Absolute Deviation (MAD)	1.981661
Skewness	-0.4674499972
Sum	-854862821.3
Variance	19.86658182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-99.092623	23450	0.3%
-103.342222	22261	0.3%
-117.018913	21991	0.3%
-101.6832	21281	0.2%
-99.049159	21250	0.2%
-99.113471	20952	0.2%
-98.197495	20051	0.2%
-103.388988	20039	0.2%
-97.608541	19495	0.2%
-100.310892	18645	0.2%
Other values (2459)	8419908	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-117.054459	5361	0.1%
-117.018913	21991	0.3%
-116.62655	5330	0.1%
-116.595134	13444	0.2%
-115.939061	1901	< 0.1%
-115.475579	16932	0.2%
-114.779624	5937	0.1%
-113.540131	3248	< 0.1%
-112.857277	2407	< 0.1%
-112.268275	3974	< 0.1%

Value	Count	Frequency (%)
-86.746092	2950	< 0.1%
-86.824811	10920	0.1%
-86.876177	2940	< 0.1%
-86.957588	4524	0.1%
-87.0755	5297	0.1%
-87.463205	3144	< 0.1%
-87.487223	3249	< 0.1%
-87.937328	3710	< 0.1%
-88.046587	5068	0.1%
-88.152266	5525	0.1%

lat
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2466
Distinct (%)	< 0.1%
Missing	2095
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	20.24635231

Minimum	14.679452
Maximum	32.641176
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	65.9 MiB

Quantile statistics

Minimum	14.679452
5-th percentile	16.459666
Q1	18.320517
median	19.552722
Q3	21.000822
95-th percentile	27.276382
Maximum	32.641176
Range	17.961724
Interquartile range (IQR)	2.680305

Descriptive statistics

Standard deviation	3.228445128
Coefficient of variation (CV)	0.1594581127
Kurtosis	2.41502912
Mean	20.24635231
Median Absolute Deviation (MAD)	1.351291
Skewness	1.490742023
Sum	174712313.6
Variance	10.42285795
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19.359004	23450	0.3%
20.676389	22261	0.3%
32.532461	21991	0.3%
21.121972	21281	0.2%
19.599069	21250	0.2%
19.482945	20952	0.2%
19.04399	20051	0.2%
20.720962	20039	0.2%
16.129895	19495	0.2%
25.664697	18645	0.2%
Other values (2456)	8419908	97.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14.679452	4066	< 0.1%
14.777838	2830	< 0.1%
14.837314	2183	< 0.1%
14.863025	3687	< 0.1%
14.911071	11074	0.1%
14.94019	4282	< 0.1%
14.989789	4584	0.1%
15.01852	3640	< 0.1%
15.060707	2887	< 0.1%
15.138289	4532	0.1%

Value	Count	Frequency (%)
32.641176	16932	0.2%
32.572679	5330	0.1%
32.532461	21991	0.3%
32.479831	5937	0.1%
32.363684	5361	0.1%
31.866396	2407	< 0.1%
31.808944	13444	0.2%
31.746465	16369	0.2%
31.390107	1504	< 0.1%
31.372068	1692	< 0.1%

esco_avail
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.9 MiB

0	8561620
1	69798

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8631418
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	8561620	99.2%
1	69798	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	8561620	99.2%
1	69798	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	8561620	99.2%
1	69798	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8631418	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	8561620	99.2%
1	69798	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	8631418	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	8561620	99.2%
1	69798	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8631418	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	8561620	99.2%
1	69798	0.8%

causa_nombre
Categorical

HIGH CARDINALITY

Distinct	308
Distinct (%)	< 0.1%
Missing	1229
Missing (%)	< 0.1%
Memory size	65.9 MiB

Vive	7939926
Diabetes mellitus	106212
Infarto agudo del miocardio	92552
Agresiones (homicidios)	28586
Otras enfermedades del hÃgado	24294
Other values (303)	438619

Length

Max length	149
Median length	4
Mean length	6.397432432
Min length	4

Characters and Unicode

Total characters	55211051
Distinct characters	57
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	< 0.1%

Sample

1st row	Vive
2nd row	Vive
3rd row	Vive
4th row	Vive
5th row	Vive

Common Values

Value	Count	Frequency (%)
Vive	7939926	92.0%
Diabetes mellitus	106212	1.2%
Infarto agudo del miocardio	92552	1.1%
Agresiones (homicidios)	28586	0.3%
Otras enfermedades del hÃgado	24294	0.3%
Enfermedades pulmonares obstructivas crÃ³nicas	22882	0.3%
NeumonÃa	21039	0.2%
Accidentes de trÃ¡fico de vehÃculos de motor	14953	0.2%
Enfermedad alcohÃ³lica del hÃgado	14026	0.2%
Insuficiencia renal	13097	0.2%
Other values (298)	352622	4.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
vive	7939926	72.4%
del	256876	2.3%
de	164476	1.5%
enfermedades	133058	1.2%
y	122449	1.1%
mellitus	106221	1.0%
diabetes	106221	1.0%
agudo	100985	0.9%
infarto	96518	0.9%
miocardio	92552	0.8%
Other values (590)	1849527	16.9%

Most occurring characters

Value	Count	Frequency (%)
e	10357543	18.8%
i	9582192	17.4%
v	8062571	14.6%
V	7940122	14.4%
	2345634	4.2%
a	1992038	3.6%
o	1665905	3.0%
s	1630582	3.0%
r	1365397	2.5%
d	1347096	2.4%
Other values (47)	8921971	16.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	43204591	78.3%
Uppercase Letter	9107819	16.5%
Space Separator	2345634	4.2%
Other Punctuation	167461	0.3%
Format	154523	0.3%
Other Number	124766	0.2%
Other Symbol	40464	0.1%
Close Punctuation	28586	0.1%
Open Punctuation	28586	0.1%
Other Letter	8615	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10357543	24.0%
i	9582192	22.2%
v	8062571	18.7%
a	1992038	4.6%
o	1665905	3.9%
s	1630582	3.8%
r	1365397	3.2%
d	1347096	3.1%
n	1145658	2.7%
t	1048151	2.4%
Other values (16)	5007458	11.6%

Uppercase Letter

Value	Count	Frequency (%)
V	7940122	87.2%
Ã	470824	5.2%
I	121540	1.3%
D	116820	1.3%
L	79725	0.9%
O	79697	0.9%
T	77182	0.8%
E	72213	0.8%
A	59308	0.7%
H	23270	0.3%
Other values (11)	67118	0.7%

Other Punctuation

Value	Count	Frequency (%)
¡	142450	85.1%
,	25011	14.9%

Space Separator

Value	Count	Frequency (%)
	2345634	100.0%

Format

Value	Count	Frequency (%)
	154523	100.0%

Other Number

Value	Count	Frequency (%)
³	124766	100.0%

Other Symbol

Value	Count	Frequency (%)
©	40464	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	28586	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	28586	100.0%

Other Letter

Value	Count	Frequency (%)
º	8615	100.0%

Math Symbol

Value	Count	Frequency (%)
±	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	52321025	94.8%
Common	2890026	5.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10357543	19.8%
i	9582192	18.3%
v	8062571	15.4%
V	7940122	15.2%
a	1992038	3.8%
o	1665905	3.2%
s	1630582	3.1%
r	1365397	2.6%
d	1347096	2.6%
n	1145658	2.2%
Other values (38)	7231921	13.8%

Common

Value	Count	Frequency (%)
	2345634	81.2%
	154523	5.3%
¡	142450	4.9%
³	124766	4.3%
©	40464	1.4%
)	28586	1.0%
(	28586	1.0%
,	25011	0.9%
±	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	54269403	98.3%
None	941648	1.7%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	10357543	19.1%
i	9582192	17.7%
v	8062571	14.9%
V	7940122	14.6%
	2345634	4.3%
a	1992038	3.7%
o	1665905	3.1%
s	1630582	3.0%
r	1365397	2.5%
d	1347096	2.5%
Other values (40)	7980323	14.7%

None

Value	Count	Frequency (%)
Ã	470824	50.0%
	154523	16.4%
¡	142450	15.1%
³	124766	13.2%
©	40464	4.3%
º	8615	0.9%
±	6	< 0.1%

death
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	65.9 MiB

0	7939926
1	691492

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	8631418
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	7939926	92.0%
1	691492	8.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	7939926	92.0%
1	691492	8.0%

Most occurring characters

Value	Count	Frequency (%)
0	7939926	92.0%
1	691492	8.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8631418	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	7939926	92.0%
1	691492	8.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8631418	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	7939926	92.0%
1	691492	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8631418	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	7939926	92.0%
1	691492	8.0%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	df_index	region	sexo	edad	escolaridad	ocupacion	factor	state_name	municipio	pop	pop_male	pop_female	afromexican	indigenous_language	metro_area	long	lat	esco_avail	causa_nombre
0	0	1001	1	0	0.0	99	7907	Aguascalientes	Aguascalientes	948990.0	462073.0	486917.0	15170.0	1839.0	1	-102.296047	21.879823	1	Vive
1	1	1001	1	1	0.0	99	6282	Aguascalientes	Aguascalientes	948990.0	462073.0	486917.0	15170.0	1839.0	1	-102.296047	21.879823	1	Vive
2	2	1001	1	2	0.0	99	8126	Aguascalientes	Aguascalientes	948990.0	462073.0	486917.0	15170.0	1839.0	1	-102.296047	21.879823	1	Vive
3	3	1001	1	3	1.0	99	7042	Aguascalientes	Aguascalientes	948990.0	462073.0	486917.0	15170.0	1839.0	1	-102.296047	21.879823	0	Vive
4	4	1001	1	4	1.0	99	8532	Aguascalientes	Aguascalientes	948990.0	462073.0	486917.0	15170.0	1839.0	1	-102.296047	21.879823	0	Vive
5	5	1001	1	5	1.0	99	8865	Aguascalientes	Aguascalientes	948990.0	462073.0	486917.0	15170.0	1839.0	1	-102.296047	21.879823	0	Vive
6	6	1001	1	6	1.0	99	8008	Aguascalientes	Aguascalientes	948990.0	462073.0	486917.0	15170.0	1839.0	1	-102.296047	21.879823	0	Vive
7	7	1001	1	6	3.0	99	496	Aguascalientes	Aguascalientes	948990.0	462073.0	486917.0	15170.0	1839.0	1	-102.296047	21.879823	0	Vive
8	8	1001	1	7	1.0	99	2431	Aguascalientes	Aguascalientes	948990.0	462073.0	486917.0	15170.0	1839.0	1	-102.296047	21.879823	0	Vive
9	9	1001	1	7	3.0	99	5421	Aguascalientes	Aguascalientes	948990.0	462073.0	486917.0	15170.0	1839.0	1	-102.296047	21.879823	0	Vive

Last rows

	df_index	region	sexo	edad	escolaridad	ocupacion	edo_civil	factor	state_name	municipio	pop	pop_male	pop_female	afromexican	indigenous_language	metro_area	long	lat	causa_nombre	death
8631408	8643301	32005	1	32	8.0	6	5.0	1	Zacatecas	Calera	45759.0	22579.0	23180.0	650.0	191.0	0	-102.702263	22.949037	Agresiones (homicidios)	1
8631409	8643302	32017	1	19	4.0	99	1.0	1	Zacatecas	Guadalupe	211740.0	102455.0	109285.0	2849.0	524.0	1	-102.518802	22.746782	Agresiones (homicidios)	1
8631410	8643303	32039	1	18	8.0	7	1.0	1	Zacatecas	RÃo Grande	64535.0	31280.0	33255.0	493.0	91.0	0	-103.034332	23.827434	Agresiones (homicidios)	1
8631411	8643304	32020	1	33	4.0	99	1.0	1	Zacatecas	Jerez	59910.0	29165.0	30745.0	330.0	143.0	0	-102.989924	22.649403	Agresiones (homicidios)	1
8631412	8643305	32026	1	38	4.0	99	4.0	1	Zacatecas	Mazapil	17774.0	9111.0	8663.0	356.0	6.0	0	-101.554967	24.638097	Agresiones (homicidios)	1
8631413	8643306	32056	1	27	4.0	4	4.0	1	Zacatecas	Zacatecas	149607.0	71972.0	77635.0	1895.0	586.0	1	-102.571836	22.776096	Agresiones (homicidios)	1
8631414	8643307	32017	1	32	4.0	99	5.0	1	Zacatecas	Guadalupe	211740.0	102455.0	109285.0	2849.0	524.0	1	-102.518802	22.746782	Agresiones (homicidios)	1
8631415	8643308	32031	1	37	4.0	4	4.0	1	Zacatecas	Monte Escobedo	8683.0	4284.0	4399.0	58.0	46.0	0	-103.561643	22.302785	Agresiones (homicidios)	1
8631416	8643309	32031	2	24	4.0	99	4.0	1	Zacatecas	Monte Escobedo	8683.0	4284.0	4399.0	58.0	46.0	0	-103.561643	22.302785	Agresiones (homicidios)	1
8631417	8643310	32037	1	25	9.0	6	1.0	1	Zacatecas	PÃ¡nuco	17577.0	8780.0	8797.0	78.0	126.0	0	-102.540884	22.875964	Agresiones (homicidios)	1

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Symbol

Other Punctuation

Other Number

Format

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Other Punctuation

Other Number

Other Symbol

Initial Punctuation

Space Separator

Format

Other Letter

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Specials

Punctuation

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number